عربي English Türkçe اردو فارسى
Logo
Latest News
Technology

ATHKA Olympiad Achieves Record Enrolment in Kingdom with over 260,000 Saudi Students

ATHKA Olympiad Achieves Record Enrolment in Kingdom with over 260,000 Saudi Students
TT
TT

ATHKA Olympiad Achieves Record Enrolment in Kingdom with over 260,000 Saudi Students

ATHKA Olympiad Achieves Record Enrolment in Kingdom with over 260,000 Saudi Students

National Olympiad for Programming and Artificial Intelligence (ATHKA) has set a record with over 260,000 Saudi male and female students from intermediate and secondary levels participating.

Representing over 10,000 schools in the Kingdom, this makes it the largest national Olympiad to reach such extensive participation. The surge in involvement indicates a significant rise in the Kingdom's youth awareness and interest in programming and AI technologies, SPA reported.

The substantial engagement with ATHKA highlights the successful collaboration between the Saudi Data and Artificial Intelligence Authority (SDAIA), the Ministry of Education, and the King Abdulaziz and His Companions Foundation for Giftedness and Creativity (Mawhiba).

Together, they aim to bolster ATHKA as a national initiative nurturing a generation proficient in programming and AI, aligning with the objectives of Saudi Vision 2030 for human capacity development.

In April 2023, the Kingdom secured the second position globally in societal awareness of AI. This achievement follows a survey demonstrating increased confidence among Saudi citizens in utilizing AI products and services.

The Artificial Intelligence Index's sixth edition report by Stanford University indicates a high level of trust among Saudi citizens in embracing AI within the Kingdom.

Most Viewed

 
 
Technology

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
TT
TT

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.